Opscidia’s ontology generator

openacrs's bookmarks 2021-03-06

Summary:

A key problem in building efficient text-mining tools is to have proper domain-specific ontologies that can be used as building blocks for other text-mining applications. These ontologies can have many usages for researchers, innovators, librarians, and others.

There are a lot of tools to text-mine non-technical texts and bring interesting concepts and main topics out of it. Some of these tools are based on ontologies to make Named-Entity Recognition for instance. Most of the time, these ontologies are produced by experts and very often, they simply don’t exist as soon as the topic is too narrow or technical. The project aims at addressing the difficult challenge of scientific topic detection on a text corpus that has no already human-made ontology. Researchers, Innovation professionals or librarians face this kind of challenge when they try to classify documents in a very specialized domain, or when they look for the next promising technologies in a specific domain for example. Hence, generating a specific ontology has many usages: it can be used as the first layer of larger intelligence tools, or as a classification tree for documents, or as a tool to explore a domain.

Link:

https://www.openaire.eu/opscidia-ontology-generator

From feeds:

Open Access Tracking Project (OATP) » openacrs's bookmarks

Tags:

oa.new oa.infrastructure oa.ontologies oa.metadata oa.openaire oa.opscidia oa.tools oa.mining

Date tagged:

03/06/2021, 14:52

Date published:

03/06/2021, 09:52